对于新的类别，只需要少量的样本就能快速学习，这就是 Few-shot Learning 要解决的问题。
Explore how few-shot learning works, its key techniques and applications, and what the future holds for few-shot learning.
nlp machine-learning deep-learning text-classification transformers pytorch transfer-learning pretrained-models knowledge-distillation bert text-to-image-synthesis fewshot-learning text-image-retrieval knowledge-pretraining Updated Nov 27, 2024 Python concavegit / kfda Star 30 Code Issues Pull requests...
the first branch of this network computes parameters in a single forward pass. This has several advantages: 1) the single forward pass makes the proposed method fast; 2) the approach for one-shot learning is fully differentiable, allowing the branch...
code https://github.com/vgsatorras/few-shot-gnn.git paper https://arxiv.org/pdf/1711.04043.pdf 论文的原理可以直接看论文或者博客,这里主要记录论文中一些含糊的细节 setting 分为 few-shot setting,semi-supervised se... Few-Shot Learning with Graph Neural Networks(图神经网络小样本学习) ...
If you use this code, please cite: Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning. Wenbin Li, Lei Wang, Jinglin Xu, Jing Huo, Yang Gao and Jiebo Luo. In CVPR 2019. Prerequisites Linux Python 3.8 Pytorch 1.7.0 GPU + CUDA CuDNN pillow, torchvision, scipy...
直接用在代码生成任务上有良好表现的代码预训练语言模型(Code-LLMs)进行few-shot learning。 (a)举了一个推理图的例子,(c)(d)展示了现有工作中存在的两种表示推理图的方式:DOT形式和list形式。(b)是作者将例子转化为python代码后的形式,一个输入输出对(T, G)可以转化成一个Tree class,其中,语言描述T作为...
Few-Shot Meta-Baseline This repository contains the code forMeta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning. Citation @inproceedings{chen2021meta, title={Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning},
论文阅读笔记《One-Shot Imitation Learning》 基本思想 模仿学习,顾名思义就是机器人通过模仿示教动作(Demonstration)从而学会完成某项任务的过程,这里包含几个重要的概念:状态(State,StS_tSt),动作(Action,AtA_tAt),示教动作(Demo)和策略(表现为神经网络的参数θ\thetaθ),模仿学习就要利用神经网络...
Python 等3 种语言 Python 99.6% Shell 0.3% Dockerfile 0.1% Apache-2.0 使用Apache-2.0 开源许可协议 Code of conduct 保存更改 取消 发行版 暂无发行版 mmfewshot 开源评估指数 开源评估指数源自 OSS-Compass 评估体系,评估体系围绕以下三个维度对项目展开评估: 1. 开源生态 生产力:来评估...